{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "vulnerable system version", "vulnerability", "vulnerable system", "capabilities", "supported platform", "vulnerable system owner", "discoverer"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system", "patch number", "vulnerable system version", "releaser", "time", "common vulnerabilities and exposures", "issues addressed", "vulnerability"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "number of data", "attack pattern", "number of victim", "place", "attacker", "purpose", "tool", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["time", "tool", "attack pattern", "damage amount", "attacker", "payment method", "price"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "damage amount", "attack pattern", "victim", "trusted entity", "time", "attacker", "place", "purpose"]}], "input": "These criminals will contact victims in many ways , including spoof calls , voicemails and text messages ."}
{"discover vulnerability": [], "patch vulnerability": [], "data breach": [], "ransom": [], "phishing": [{"trigger": "will contact", "arguments": {"tool": "text messages", "damage amount": "NAN", "attack pattern": "NAN", "victim": "victims", "trusted entity": "NAN", "time": "NAN", "attacker": "These criminals", "place": "NAN", "purpose": "NAN"}}]}